Development of a thermodynamic model for optimization of processes in crop production

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.290294

Keywords:

thermodynamic model, rheological transitions, agriculture, algorithm, class diagram, photon irradiation

Abstract

The agricultural sector faces serious challenges related to climate change. These changes have the potential to reduce yields and food security, highlighting the importance of understanding and managing temperature dynamics. This work is the result of development a thermodynamic model that investigates the dynamics of temperature balance through heat energy transfer. A scheme of rheological heat exchange of an object with an insulated surface and graphs of irreversible rheological transformations are proposed. The main equation of heat exchange with a chemical reaction is given and the equation of the speed of heat energy transfer along the length of the object is derived. Further development of physical-mathematical models of the transformation of thermal energy into a set of states of the object is proposed. The experimental results fully correlate with the heat transfer equation. Samples with tomato seeds were irradiated with a photon irradiator with wavelengths of blue 450 nm, green 550 nm, red 650 nm with an exposure of 12/24 h. As a result, 90 % under the influence of the red spectrum of the photon irradiator for 24 h, which is 24 % more than the control sample. This will make it possible to assess the general temperature regime of agricultural objects and optimize the heating process. This study reveals the essence of temperature regulation at agricultural facilities using a thermodynamic model, which not only takes into account heat exchange, but also includes the influence of chemical reactions. The proposed thermodynamic model and associated equations provide a foundation for future research and practical applications that will ultimately benefit the agricultural industry, global food production

Author Biographies

Orken Mamyrbayev, U. Joldasbekov Institute of Mechanics and Engineering

Doctor PhD, Associate Professor

Department of Artificial intelligence

Waldemar Wojcik, Lublin University of Technology

Doctor of Technical Science, Professor

Department of Electronic and Information Technologies

Nataliia Titova, Odesа Polytechnic National University

Doctor of Technical Sciences, Professor, Head of Department

Department of Biomedical Engineering

Sergii Pavlov, Vinnytsia National Technical University

Doctor of Technical Sciences, Professor

Department of Biomedical Engineering and Optic-Electronic Systems

Dina Oralbekova, U. Joldasbekov Institute of Mechanics and Engineering

Doctor PhD

Department Artificial Intelligence

Assel Aitkazina, Al-Farabi Kazakh National University

Postgraduate Student

Department of Artificial intelligence and Big Data

Nurdaulet Zhumazhan, U. Joldasbekov Institute of Mechanics and Engineering

Junior Researcher

Department of Artificial Intelligence

References

  1. Peace for Food: Our Istanbul Roundtable. Available at: https://www.businessatoecd.org/blog/peace-for-food-our-istanbul-roundtable
  2. Statistical information. State Statistics Service of Ukraine. Available at: https://www.ukrstat.gov.ua/
  3. Hase, Y., Satoh, K., Kitamura, S. (2023). Comparative analysis of seed and seedling irradiation with gamma rays and carbon ions for mutation induction in Arabidopsis. Frontiers in Plant Science, 14. doi: https://doi.org/10.3389/fpls.2023.1149083
  4. Kosugi, S., Momozawa, Y., Liu, X., Terao, C., Kubo, M., Kamatani, Y. (2019). Comprehensive evaluation of structural variation detection algorithms for whole genome sequencing. Genome Biology, 20 (1). doi: https://doi.org/10.1186/s13059-019-1720-5
  5. Urva, Shafique, H., Jamil, Y., Haq, Z. ul, Mujahid, T., Khan, A. U. et al. (2017). Low power continuous wave-laser seed irradiation effect on Moringa oleifera germination, seedling growth and biochemical attributes. Journal of Photochemistry and Photobiology B: Biology, 170, 314–323. doi: https://doi.org/10.1016/j.jphotobiol.2017.04.001
  6. Nikiforova, L. E. (2008). Study of the effect of low-energy electromagnetic radiation on the seeds of greenhouse crops. Proceedings of the Tavri State Agro-Technological University. Melitopol.
  7. Geng, Z., Wang, H., Torki, M., Beigi, M., Zhu, L., Huang, X. et al. (2023). Thermodynamically analysis and optimization of potato drying in a combined infrared/convective dryer. Case Studies in Thermal Engineering, 42, 102671. doi: https://doi.org/10.1016/j.csite.2022.102671
  8. Minevich, I. E., Uschapovsky, I. V. (2021). Influence of IR radiation on the biological value of flax seeds. Agrarian Science, 11-12, 144–146. doi: https://doi.org/10.32634/0869-8155-2020-343-11-134-136
  9. Boos, G. V., Prikupets, L. B., Terehov, V. G., Tarakanov, I. G. (2017). Studies in the field of plant irradiation with LEDs. The 10th Asia Lighting Conference. Shanghai.
  10. Lin, K.-H., Huang, M.-Y., Huang, W.-D., Hsu, M.-H., Yang, Z.-W., Yang, C.-M. (2013). The effects of red, blue, and white light-emitting diodes on the growth, development, and edible quality of hydroponically grown lettuce (Lactuca sativa L. var. capitata). Scientia Horticulturae, 150, 86–91. doi: https://doi.org/10.1016/j.scienta.2012.10.002
  11. Johnson, A. J., Meyerson, E., de la Parra, J., Savas, T. L., Miikkulainen, R., Harper, C. B. (2019). Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling. PLOS ONE, 14 (4), e0213918. doi: https://doi.org/10.1371/journal.pone.0213918
  12. Stenzel, Y. I., Zlepko, S. M., Pavlov, S. V. (2013). Physical and mathematical modeling of thermodynamic methods of diagnosing the state of human health. Optical-electronic information and energy technologies. Vinnytsia, 66–72.
  13. Wojcik, W., Pavlov, S. (Eds.) (2022). Highly linear Microelectronic Sensors Signal Converters Based on Push-Pull Amplifier Circuits. Lublin, 283.
  14. Titova, N. V., Stenzel, Y. I., Pavlov, S. V., Zlepko, S. M. (2017). Modeling of thermodynamic methods in biological objects for reproduction in the fishery. Application of lasers in medicine and biology: materials of the XLVI international scientific and practical conference. Kharkiv: FOP Petrov V., 137–139.
  15. Horobets, V. G. (2015). Heat engineering and use of heat in agriculture. Kyiv, 389.
  16. Didur, V. A., Struchaev, M. I. (2008). Heat engineering, heat supply and use of heat in agriculture. Kyiv: Agrarian Education, 233.
  17. Spivak, O. Yu., Resident, N. V. (2021). Heat and mass exchange. Part I: study guide. Vinnytsia: VNTU, 113.
  18. Rubin, A. B. (1999). Biophysics. Vol. 1. Theoretical biophysics. Moscow: Moscow University Publishing House, 448.
  19. Wójcik, W., Pavlov, S., Kalimoldayev, M. (Eds.) (2019). Information Technology in Medical Diagnostics II. CRC Press. doi: https://doi.org/10.1201/9780429057618
  20. Wójcik, W., Smolarz, A. (Eds.) (2017). Information Technology in Medical Diagnostics. CRC Press. doi: https://doi.org/10.1201/9781315098050
  21. Yessenova, M., Abdikerimova, G., Adilova, A., Yerzhanova, A., Kakabayev, N., Ayazbaev, T. et al. (2022). Identification of factors that negatively affect the growth of agricultural crops by methods of orthogonal transformations. Eastern-European Journal of Enterprise Technologies, 3 (2 (117)), 39–47. doi: https://doi.org/10.15587/1729-4061.2022.257431
Development of a thermodynamic model for optimization of processes in crop production

Downloads

Published

2023-12-29

How to Cite

Mamyrbayev, O., Wojcik, W., Titova, N., Pavlov, S., Oralbekova, D., Aitkazina, A., & Zhumazhan, N. (2023). Development of a thermodynamic model for optimization of processes in crop production. Eastern-European Journal of Enterprise Technologies, 6(8 (126), 25–34. https://doi.org/10.15587/1729-4061.2023.290294

Issue

Section

Energy-saving technologies and equipment